Excerpts

Significant or highly significant differences were respectively considered as 0.05>P>0.01 or P<0.01.

The mean difference between the weights of the placentae corresponding to the heaviest fetus and the weights of the placentae corresponding to the lightest fetus was +1.37 q- 0.128 gm., a highly significant value (t = 10.7, P < 0.01).

The labeling of lipid bodies in control or degranulated mast cells was highly significant (P< 0.01) by the Xztest.

A two-way analysis of variance revealed a highly significant effect of stimulation (F = 20.1 iiss df, P < 0.01) .

The difference in RNA is highly significant (p < .01).

The overall stain- ing intensity between different tumours was compared by incorporating a standard positive tumour into each run and Statistical analysis (Table II) The Chi-squared test showed a highly significant correlation between positive p53 staining and allele loss at 17p13 (P<0.01).

Bivariate relationships of A max on N and P (either area-based or mass-based) were highly significant for the pooled data (Fig. 2 , P < 0.01).

Highly significant positive correlations ( P < 0.01) were detected between PH and Precipitation ( r = 0.51), PH and AT ( r = 0.65), SD and AT ( r = 0.50), NAGI and Precipitation ( r = 0.72), AIL and AT ( r = 0.69), AIL and ASR ( r = 0.63), RLI and Altitude ( r = 0.57), EL and Precipitation ( r = 0.54), EL and AT ( r = 0.51), EW and Precipitation ( r = 0.66), EW and AT ( r = 0.55), LARRS and AT ( r = 0.53), HR and ASR ( r = 0.60), DW and Precipitation ( r = 0.65), DW and AT ( r = 0.53), Yield and AT ( r = 0.52).

The between-cluster analysis consistently showed highly significant differences ( P < 0.01), except for one of the scores measuring polyneuropathy (Neuropathy Disability Score; P = 0.609) and Levodopa dosage ( P = 0.226).

There was a highly significant association between positive oestrogen receptor status and immunohistochemical staining for pNR-2 (Table I, chi square= 7.57, P <0.01).

For cognitive function, MMSE scores showed a highly significant difference (F (3,296) = 16.553, p < 0.01, η2 = 0.144), reflecting a large effect size.

There was a highly significant fall in ratio after one week (0.8-0.37, P<0.01) and a further fall in the mean value with a minimum at week 3 (week 1 versus week 3, P<0.001).

Pearson’s correlation coefficient indicated a highly significant positive correlation coefficient ( p < 0.01) between T-AOC and either MDA or SOD, as well as between MDA and SOD.

The correlation coefficient of the relative expression rate and the growth rate was 0.94, which was highly significant (p <0.01).

Co-location of veraison QTLs with other phenology QTLs was indeed highly significant compared to a random distribution ( χ 2 -test, p < 0.01 ) [ 92 ].

In gut wall tumours, however, there was a highly significant (P<0.01) increase in COD by 90%; no significant change in COD occurred in the intra-muscular tumours.

Statistical analysis was conducted by Student’s t test: *** p < 0.001 highly significant; ** p < 0.01 very significant; * p < 0.05 significant; not significant (ns) p > 0.05.

The model indicates a highly significant treatment effect, which was explained by the interaction terms- cycle*treatment ( p = .010) and cycle 2 *treatment ( p = .0136)- after the difference in the peak-pain scores of the two groups was adjusted for cycle trends.

For several genes the induction was highly significant (P < 0.01), although their expression change was between 1.5 and 2 fold.

Across both tests, eleven SNPs in this gene showed significant genotypic association with schizophrenia ( P < 0.05), and in three instances the association was highly significant ( P < 0.01) (see Additional file 1 : SNP RS776401: map position 031836504 on Chr 8, risk genotype odds ratio (OR) = 1.461, 95% confidence interval (CI) 1.160–1.840; SNP RS1383887: map position 031872698, OR = 1.589, CI 1.213–2.081; SNP RS-GSK8116812: map position 032741837, OR = 1.651, CI 1.242–2.196).

In addition, all factor and item loadings in this model were large and highly significant (from 0.45 to 0.89, p < 0.01).

When the analysis was stratified by gender, it showed a highly significant association between cancer prevalence and TZDs in women (OR = 2.07, 95% CI (1.18–3.63), P = 0.01) (Table 4 ), but not in men (OR = 1.20, 95% CI (0.58–2.46), P = 0.63) (Table 4 ).

In the case of RAB3A silencing, an overall mRNA decrease in all markers was observed in NG, as shown for synaptopodin (−3.93 FC, p < 0.01) and CD2AP (−2.18 FC, p < 0.05), whereas under glucose overload, an increasing trend was observed in all podocyte markers, significant for synaptopodin (3.15 FC, p < 0.01) and WT-1 (4.75 FC, p < 0.05) ( Figure 2 A).

Meta-analysis showed that maternal circulating sHLA-G concentration was not significantly associated with RIF (SMD -0.81, 95%CI -2.84~-1.21, p-value=0.432) with extremely significant heterogeneity (I 2 = 95.4%, p-value<0.01) ( Figure 6 and Supplementary Table 6 ).

However, there was a highly significant 2.5 fold increase in motor neuron survival within the hNPC GDNF group when compared with the non grafted side (P<0.01; Figure 7B, C ).